Testing of Hypothesis and Significance:

The level that is “good enough” to be believed. 95% significance level means 5% of not being true. 3. Significance tests are not always valid. What are some factors that can invalidate a test? Faulty data collection. Outliers in the data. Testing a hypothesis after sampling (using results to meet your needs/wants) Testing a sample that is ... ................
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